Top Artificial Intelligence Jobs in France

Leads high-value consulting engagements for major manufacturing accounts, shaping strategic change agendas across business and IT. Builds CXO relationships, drives business development, revenue, margins, and customer satisfaction, and oversees complex multidisciplinary delivery. The role also develops consulting talent, advances innovation, contributes to corporate strategy, and establishes thought leadership in manufacturing and technology transformation.

Leads the enterprise data governance strategy, framework, roadmap, policies, standards, and data quality programs. Establishes metadata, lineage, master data, classification, access, and privacy practices while partnering with IT and Security to support secure AI initiatives. The role resolves cross-functional data issues, aligns governance with regulatory requirements, measures data quality, and develops the governance team in a regulated healthcare or technology environment.

The Senior AI Agentic Engineer will oversee product strategy and architecture for AI projects, lead cross-functional teams, and manage client interactions across financial services.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead Doctolib’s AI Developer Experience team and existing CI/DevEx scope. Build agent-native testing, feedback, evaluation, security controls, CI/CD, developer productivity measurement, and inner-loop tooling. Recruit and develop the organization while driving adoption across engineering teams in France and Germany. Partner with product, infrastructure, security, quality, and platform leaders to improve software delivery speed, reliability, and control at scale.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Manage Airbus Defence and Space’s AI use case portfolio from ideation through deployment and value realization. Responsibilities include designing intake and governance frameworks, prioritizing initiatives, developing business cases and KPIs, tracking ROI and portfolio performance, ensuring EU AI Act and Responsible AI compliance, conducting business discovery workshops, documenting processes and requirements, and supporting AI product roadmaps.

Leads functional architecture for AI travel assistant solutions, translating product strategy and customer needs into implementable designs. Defines user journeys, business processes, capability interactions, APIs, requirements, and acceptance criteria. Aligns Product, Engineering, Enterprise Architecture, UX, Security, and external stakeholders while supporting delivery, governance, backlog refinement, and design reviews. Promotes reusable AI and travel capability patterns, resolves ambiguity, assesses trade-offs, and ensures solutions balance delivery speed, scalability, and long-term maintainability.

Designs enterprise-scale, AI-native architectures that expose Amadeus travel capabilities to external AI assistants and agentic platforms. Defines APIs, agent-ready services, tool interfaces, semantic models, orchestration layers, integration patterns, and technical roadmaps. Leads architecture reviews, partners with technology providers and internal teams, establishes security and observability standards, and guides solutions from prototyping through global production deployment.

Manage end-to-end onboarding for enterprise customers, from sales handoff through configuration, training, activation, and adoption. Lead discovery, implementation planning, AI Agent rollout, ecommerce integrations, and project timelines. Translate customer data and AI outcomes into executive-level business value, mitigate roadblocks, and coordinate internal teams. Build trusted customer relationships, drive time to value, document best practices, and coach peers while leveraging AI tools to improve implementation efficiency.

Build Brevo OS, an AI-native operating system for small businesses. Translate business needs into products, define users and data models, extend platform primitives, and ship production features. Work across product, frontend, backend, infrastructure, data modeling, and AI, primarily through coding agents. Decompose problems for agents, review generated code, maintain quality through testing and instrumentation, and improve systems in production.

Supports technology, data, automation, and AI audits by assessing governance, controls, model risks, cybersecurity, data quality, and regulatory compliance. Designs analytics, automated testing, dashboards, and AI-enabled tools to improve continuous assurance and audit efficiency. Partners with technology and data teams, translates technical risks into business conclusions, advises auditors, and contributes to internal audit innovation and technology roadmaps.

Leads AI architecture and governance at enterprise scale, defining technical strategies, policies, and scalable production-grade AI solutions. Oversees data and knowledge management across structured, unstructured, semantic data, and knowledge graphs. Drives advanced algorithms, computational efficiency, risk mitigation, and technical roadmaps while supporting business value streams. Provides architectural leadership, cross-functional guidance, mentoring, and coaching to engineers and technical communities.

Build, deploy, and operate production AI agents and multi-agent systems. Own end-to-end delivery including agent development, CI/CD, infrastructure, monitoring, evaluations, regression testing, context engineering, and production debugging. Partner with CX, RevOps, and Data teams to identify needs, ship solutions rapidly, and shape the agent platform architecture. The role requires a pragmatic whole-system thinker with production engineering, DevOps, LLM, prompt engineering, and evaluation experience.

Lead growth across strategic client accounts, targeting 15%+ year-over-year revenue expansion. Engage CIOs, CTOs, CDOs, and business leaders to position Nagarro as an AI transformation partner, shape executive agendas, expand service offerings, manage procurement and legal negotiations, build business cases, and secure client testimonials. Collaborate with engineering, AI advisors, and capability teams to deliver account strategies and achieve revenue goals.

Lead pharmacovigilance domain expertise for Veeva Falcon by guiding safety case workflows, evaluating AI-driven outputs, shaping PV automation strategy, engaging early adopters, and designing complex stress-test scenarios. The role bridges hands-on drug safety operations with product and engineering teams to improve platform accuracy, compliance, and customer value.

Legal Counsel supporting commercial contracts and AI-related service agreements, negotiating with customers, suppliers, and partners, and advising on AI regulation, data privacy, intellectual property, liability, and compliance. The role collaborates with technical and business teams, adapts contracts to evolving legal requirements, and provides broader legal support across corporate, labor, and competition matters.

Supports AI Week Hackathon initiatives from concept through pilot execution by coordinating cross-functional workstreams, tracking milestones and risks, preparing 30/60/90-day plans and executive updates, facilitating stakeholder sessions, developing AI communications and training materials, monitoring emerging technologies, and promoting responsible AI practices.

Owns governance, adoption, and continuous improvement of DATA4’s operational management tool across France. Leads process automation, digital transformation, AI use-case adoption, user training, change management, data quality, requirements gathering, reporting, and cross-functional initiatives involving Operations, Digital, Data, and global stakeholders.

Leads complex supply chain software implementations for customers, including requirements discovery, solution configuration, process design, testing, deployment workshops, troubleshooting, and customer training. Applies supply chain planning expertise, mathematical optimization, and AI algorithms to forecasting, MRP, constraint management, and production scheduling scenarios. Provides functional leadership, mentors junior consultants, partners with solution architects, and supports executive customer stakeholders. Requires extensive travel to client sites.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Leads new business development for Accenture’s financial services clients, shaping, negotiating, and closing large professional services deals. Builds executive relationships, develops value propositions, manages sales pursuits, influences client selection processes, and coordinates multidisciplinary deal teams through approval and close. Provides sales-process coaching, supports negotiations, and may supervise bid managers or sales team members. Requires travel up to 100%.

Build and automate technical art pipelines for AI-generated 2D and 3D assets across mobile games. Responsibilities include defining asset standards, creating Maya and Unity validation tools, optimizing meshes and textures, integrating AI generation tools, scaling animated promotional assets, debugging graphics and performance issues, and documenting workflows. The role requires strong Unity, C# scripting, Maya, Python or MEL, mobile optimization, and AI-assisted art production experience.

Own the applied science direction for GenSim, Datadog’s generative simulation environment for training and evaluating AI agents. Define methodology and quality metrics for post-training data, improve simulation realism and failure difficulty, and develop scalable production systems integrated into training loops. Lead LLM and agent evaluation approaches, determine how synthetic data should be applied, and collaborate across engineering and applied science teams.